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At Gilead, we’re creating a healthier world for all people. For more than 35 years, we’ve tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer – working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world’s biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference.
Job Description
Gilead's mission is to discover, develop, and deliver therapies that will improve the lives of patients with life‑threatening illnesses worldwide.
We are seeking a visionary Sr. Manager, Data Science , to drive high‑impact, cross‑functional initiatives across therapeutic areas (TAs) that drive strategic value and innovation throughout the organization. This role will partner with diverse stakeholders and data science peers to establish best practices, streamline operations, and deliver measurable improvements in driving business performance, team efficiency, and cost optimization.
The ideal candidate will bring knowledge in healthcare data and a strong track record of applying advanced analytics and AI/ML techniques to inform decision‑making and improve patient outcomes. This role will drive initiatives such as: defining and implementing best practices in data science across teams and TAs; championing scalable, reusable solutions that accelerate insight generation and operational excellence; and driving cross‑TA and cross‑functional data science initiatives including advancing cross‑functional collaborations on initiatives like the Medical Digital Assistant, HCP‑to‑account mapping, stigma measurement, and others.
Responsibilities
- Partner in driving the industrialization of predictive sciences to help understand the patient journey and triggers robustly for markets.
- Understand Gilead's commercial business objectives, develop and deploy scalable data science products and insights to influence decisions in marketing, sales, medical and others.
- Drive data science projects end to end, converting unstructured business questions into data science solutions; act as a hands‑on expert who knows how to code and debug; communicate with stakeholders.
- Foster a culture of measurement and impact and incorporate feedback to continuously improve data science models.
- Thorough understanding of statistics, primarily predictive algorithms & methodologies, to construct robust propensity models for impactful commercial use.
- Create data science products that can be refreshed, reproduced and replicated.
- Work with other Data Scientists to define retraining schedule and measure propensity models for impact.
- Partner with global teams to cross‑pollinate ideas and replicate successful models from other countries and vice versa.
- Exhibit excellent communication and ability to abstract backend complexity where it is not needed.
Competencies
Results orientation: Thrive in a fast‑paced, high‑growth environment; drive to meet and exceed goals; take ownership of problems and make decisions to move forward; clearly define objectives and priorities; establish milestones; incorporate disciplined processes to ensure success.
Team leadership: Build, develop, and motivate a team through hiring, coaching, and mentoring; leverage diversity of thought; build inclusive culture.
Strategic Orientation: Articulate evolving priorities; identify market opportunities; adapt short‑term plans; develop commercial strategies with measurable impact.
Collaboration and Influence: Influence without ownership; demonstrate competence and confidence; listen; use fact‑based persuasion; gain support from key internal constituencies; shape dialogues internally and externally.
Basic Qualifications
- Bachelor’s Degree and Eight Years' Experience OR Master’s Degree and Six Years' Experience OR PhD and Two Years’ Experience.
- Strong working knowledge of machine learning algorithms, including regression, clustering, neural networks, Bayesian models, RNN, CNN, tree‑based algorithms (RF, XGB, LightGBM), SMOTE, and others.
- Experience building, implementing and using AI‑based solutions with proven business impact.
- Strong leadership; able to manage initiatives from beginning to end autonomously.
- Effective written and verbal communication skills.
Preferred Experience
- Implementing, optimizing and using AI‑based solutions to establish proven business impact.
- Working with standard pharma and consumer data types and sources such as patient claims, Xponent, Plantrak, sales, activity.
- Expertise in pharma datasets such as IQVIA, Symphony, Komodo claims, Optum, Definitive Health, Health Verity, EMR/HER.
- Python expertise with libraries such as numpy, pandas, scikit‑learn, seaborn, networkx.
- Data science techniques such as ANCOVA, Bayesian statistics, econometric modeling, neural networks/logistic.
- Understanding of cloud‑based technologies and tools such as Databricks, S3.
- Designing measurement solutions in visualization software (Tableau preferred).
- Demonstrated product mindset and familiarity with product management principles.
- Strong team player; inclusive, objective, cross‑functional, solution‑oriented.
- Understanding of emerging data science capabilities and their potential application in pharma/health care.
- Thorough understanding of datasets including strengths and limitations such as capture rate, projections, acceptable error ranges for different therapeutic spaces.
People Leader Accountabilities
- Create inclusion: model diverse teams and embed the value of diversity.
- Develop talent: assess skills, aspirations, and potential; coach and provide feedback.
- Empower teams: align goals, purpose, and organizational objectives; remove barriers and connect the team to the broader ecosystem.
Salary
Bay Area: $169,320.00 – $219,120.00.
Other US Locations: $153,935.00 – $199,210.00.
Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. This position may also be eligible for a discretionary annual bonus, stock‑based long‑term incentives, paid time off, and a benefits package including medical, dental, vision, and life insurance.
Equal Employment Opportunity
Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions are made without discrimination based on race, color, religion, national origin, sex, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other prohibited grounds specified in applicable laws.
Applicants who require accommodation in the job application process may contact for assistance.
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